Irrigation and Water Engineering

Irrigation and Water Engineering

Simulation of yield and water productivity of cotton plant using sugarcane drainage water under different agricultural managements using AquaCrop model

Document Type : Original Article

Authors
Jamshid Bani Feri 1
Aslan Egdarnejad 2
Ali Mokhtaran 3
Mehdi Asadilour 4
Davoud Khodadadi Dehkordi 4
1 Ph.D. Student of Irrigation and drainage, Department of Water Sciences and Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.
2 Department of Water Sciences and Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.
3 Assistant Professor of Irrigation and Drainage Engineering, Agricultural Engineering Research Institute (AERI), Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.
4 Assistant Professor, Department of Water Sciences and Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.
10.22125/iwe.2025.478676.1830
Abstract
the current research aims to evaluate the ability of this model to simulate the yield, growth and water productivity of cotton under three irrigation water salinity (S1: 2, S2: 4 and S3: 6 dS.m-1) were investigated. To develop the results of this research, two cultivation dates (D1: March 15 and D2: March 25) and two cotton varieties (C1: Khurshid, C2: Golestan) were also considered. The research farm named L08-20 with an area of 25 hectares was located in the vicinity of the sugarcane industry of Mirza Khokhk Khan, Iran. The results showed that the AquaCrop model had an overestimation error (MBE>0) for simulating the yield, biomass and water productivity of both cotton varieties, but it had good accuracy (NRMSE<0.2) and good efficiency (d>0.99). Was. The accuracy of the AquaCrop model for simulating soil salinity was poor, so that the NRMSE value for three depths of 30, 60 and 90 cm was less than 0.3. Increasing the salinity of irrigation water caused a decrease in the accuracy of the AquaCrop model for simulating the vegetation in Khurshid variety, but ultimately, it did not have much effect on the decrease in the accuracy of the AquaCrop model for simulating both varieties. Changing the planting date did not make a difference in the results of cotton yield and growth simulation. Based on all the results, the AquaCrop model had the ability to simulate the yield and growth of cotton cultivars in different field managements, but it cannot be reliable for simulating soil salinity.
Keywords
Non-Conventional Water
Drain
Crop Model
Subjects
ابراهیمی‌پاک، ن. ع.، ا. اگدرنژاد، آ. تافته، م. احمدی. 1398. ارزیابی مدل‌های WOFOST، AquaCrop و CropSyst در شبیه‌سازی عملکرد کلزا در منطقه قزوین. آبیاری و زهکشی ایران. 13(3-75): 726-715.
ابراهیمی‌پاک، ن. ع.، م. احمدی، ا. اگدرنژاد، ع. خاشعی سیوکی. 1397. ارزیابی مدل AquaCrop در شبیه‌سازی عملکرد زعفران تحت سناریوهای مختلف کم‌آبیاری و مصرف زئولیت. حفاظت منابع آب و خاک. 8(1): 132-117.
احمدی، م.، م. قنبرپوری، ا. اگدرنژاد. 1400. مقدار آب کاربردی گندم با استفاده از تحلیل حساسیت و ارزیابی مدل AquaCrop. مدیریت آب در کشاورزی. 8(1): 30-15.
اگدرنژاد، ا.، ن. ع. ابراهیمی‌پاک، آ. تافته، م. احمدی. 1397. برنامه‌ریزی آبیاری کلزا با استفاده از مدل AquaCrop در دشت قزوین. مدیریت آب در کشاورزی. 5(2-10): 64-53.
روشنی، ق.، مختاران، ع.، قربانی نصرآباد، ق. 1397. ارزیابی کمی و کیفی ارقام تجاری پنبه در شرایط آبیاری با استفاده از زه‌‌آب کشت نیشکر در جنوب خوزستان، طرح تحقیقاتی. موسسه تحقیقات فنی و مهندسی کشاورزی. شماره مصوب :  961717-021-0714-07-34.
مختاران، ع.، طاوسی، م. 1399. بررسی اثراستفاده از زهاب مزارع نیشکر درکشت زمستانه ژنوتیپ‌های مختلف کینوا و تعیین مناسب‌ترین تاریخ کاشت درجنوب خوزستان، طرح تحقیقاتی، موسسه تحقیقات فنی و مهندسی کشاورزی. شماره مصوب : 971397-097-1403-46-34.
مختاران، ع.، قربانی نصرآباد، ق. 1399. استفاده از زه‌آب نیشکر درکشت ارقام مختلف پنبه با سه تاریخ کاشت متفاوت در اراضی جنوب خوزستان، طرح تحقیقاتی. موسسه تحقیقات فنی و مهندسی کشاورزی. شماره مصوب : 971314-075-1407-46-34.
Ahmadi, S.H., Mosallaeepour, E., Kamgar-Haghighi, A.A., Sepaskhah, A.R., 2015. Modeling maize yield and soil water content with AquaCrop under full and deficit irrigation managements. Water Resour. Manag. 29 (8), 2837–2853.
Assouline, S., Russo, D., Silber, A., Or, D., 2015. Balancing water scarcity and quality for sustainable irrigated agriculture. Water Resour. Res. 5, 3419–3436.
Ayers, R.S., Westcot, D.W., 1999. A qualidade da agua ´ na agricultura. Universidade Federal da Paraíba, Campina Grande.
Farahani, H.J., Izzi, G., Oweis, T.Y., 2009. Parameterization and evaluation of the AquaCrop model for full and deficit irrigated cotton. Agron. J. 101, 469–476.
Garcia-Vila, M., Fereres, E., Mateos, L., Orgaz, F., Steduto, P., 2009. Deficit irrigation optimization of cotton with AquaCrop. Agron. J. 101, 477–487.
He, Q., Li, S., Kang, S., Yang, H., Qin, S., 2018. Simulation of water balance in a maize field under film-mulching drip irrigation. Agric. Water Manag. 210, 252–260.
Hsiao, T.C., Heng, L., Steduto, P., Rojas-Lara, B., Raes, D., Fereres, E., 2009. AquaCropthe FAO crop model to simulate yield response to water: III. Parameterization and testing for maize. Agron. J. 101 (3), 448–459.
Huang, M., Zhang, Z., Sheng, Z., Zhu, Z., Zhai, Y., Lu, P., Brinkman, D., 2019. Soil salinity and maize growth under cycle irrigation in coastal soils. Agron. J. 111 (5): 2276-2286.
Hussein, F., Janat, M., Yakoub, A., 2011. Simulating cotton yield response to deficit irrigation with the FAO AquaCrop model. Span. J. Agric. Res. 9 (4), 1319–1330.
Li, N., Li, Y., Yang, Q., Biswas, A., Dong, H. 2024. Simulating climate change impacts on cotton using AquaCrop model in China, Agricultural Systems, 216. 103897.
Li, Y., Li, N., Javed, T., Pulatov, A. S., Yang, Q. 2024, Cotton yield responses to climate change and adaptability of sowing date simulated by AquaCrop model, Industrial Crops and Products, 212. 118319.
Minhas, P.S., 1996. Saline water management for irrigation in India. Agric. Water Manag. 30 (1), 1–24.
Mohammadi, M., Ghahraman, B., Davary, K., Ansari, H., Shahidi, A., Bannayan, M.  2016. Nested validation of AquaCrop model for simulation of winter wheat grain yield, soil moisture and salinity profiles under simultaneous salinity and water stress.  Irrig. Drain. 65 (1), 112–128.
Mondal, M.S., Saleh, A.F.M., Akanda, A.A.R., Biswas, S.K., Moslehuddin, A.Z.M. Zaman, S., Lazer, A.N., Clarke, D., 2015. Simulating yield response of rice to salinity stress with the AquaCrop model. Environ. Sci. Process. Impacts 17, 1118.
Nasrolahi, Al. H., Ahmadee, M., Rustum, R. 2024. Sensitivity Analysis of AquaCrop Model for Winter Wheat in Different Water Supply Conditions, Journal of Irrigation and Drainage Engineering, 150 (2), doi: https://doi.org/10.1061/JIDEDH.IRENG-10099.
Oliveira W, Colares LF, Porto RG, Viana BF, Tabarelli M, Lopes AV. Food plants in Brazil: origin, economic value of pollination and pollinator shortage risk. Sci Total Environ. 2024 Feb 20; 912:169147. doi: 10.1016/j.scitotenv.2023.169147. Epub 2023 Dec 6. PMID: 38065486.
Ozturk, O.F., Shukla, M.K., Stringam, B., Piccioni, G.A., Gard, C., 2018. Irrigation with brackish water changes evapotranspiration, growth and ion uptake of halophytes. Agric. Water Manag. 195, 142–153.
Paiva, L.L., Dias, N.S., Farias, W.C., Medeiros, L.C., Ferreira, L.L., 2013. Tolerancia de cultivares de algodao ˜ (Gossypium hirsutum) a ` salinidade da agua ´ de irrigaçao. Rev. Verde De. Agroecol. e Desenvolv. Sustent. 8, 232–237.
Raes, D., Steduto, P., Hsiao, T.C., Fereres, E., 2009. AquaCrop-the FAO crop model to simulate yield response to water. II Main Algorithms and Software Description.  Agron. J. 101, 438–447.
Ren, F., Yang, G., Li, W., He, X., Gao, Y., Tian, L., Li, F., Wang, Z., Liu, S., 2021. Yieldcompatible salinity level for growing cotton (Gossypium hirsutum L.) under mulched drip irrigation using saline water. Agric. Water Manag. 250, 106859.
Skaggs, T.H., Anderson, R.G., Corwin, D.L., Suarez, D.L., 2014. Analytical steady-state solutions for water-limited cropping systems using saline irrigation water. Water Resour. Res. 50, 9656–9674.
Steduto, P., Hsiao, T.C., Raes, D., Fereres, E., 2009. AquaCrop-the FAO crop model to simulate yield response to water. I. Concepts and Underlying Principles. Agron. J. 101: 426-437.
Tan, S., Wang, Q., Zhang, J., Chen, Y., Shan, Y., Xu, D., 2018. Performance of AquaCrop model for cotton growth simulation under film-mulched drip irrigation in southern Xinjiang, China. Agric. Water Manag. 196, 99–113.
Tilman, D., Balzer, C., Hill, J., Befort, B.L., 2011. Global food demand and the sustainable intensification of agriculture. Proc. Natl. Acad. Sci. U. S. A. 108, 20260–20264.
Tsakmakis, I.D., Kokkos, N.P., Gikas, G.D., Pisinaras, V., Hatzigiannakis, E. Arampatzis, G., 2019. Evaluation of AquaCrop model simulations of cotton growth under deficit irrigation with an emphasis on root growth and water extraction patterns. Agric. Water Manag. 213, 419–432.
Voloudakis, D., Karamanos, A., Economou, G., Kalivas, D., Vahamidis, P., Kotoulas, V. Kapsomenakis, J., Zerefos, C., 2015. Prediction of climate change impacts on cotton yields in Greece under eight climatic models using the AquaCrop crop model and discriminant function analysis. Agric. Water Manag. 147, 116–128.
Wang, D., Gao, Y., Li, M., Sturrock, C.J., Gregory, A.S., Zhang, X., 2020. Change in hydraulic properties of the rhizosphere of maize under different abiotic stresses. Plant Soil 452, 615–626.
Wang, X., Jiang, F., Wang, H., Cao, H., Yang, Y., Gao, Y., 2021. Irrigation scheduling optimization of drip-irrigated without plastic film cotton in south Xinjiang based on AquaCrop model. Trans. Chin. Soc. Agric. Mach. 52 (4), 293–301.
Xu, P., Wang, P., Liu, H., Ning, H., Wang, J. 2025. Evaluation and application of AquaCrop in simulation of alternate irrigation with brackish and fresh water for cotton under mulch drip irrigation in Southern Xinjiang, Industrial Crops and Products. 225. 120548.
Yang, G., Li, F., Tian, L., He, X., Gao, Y., Wang, Z., Ren, F., 2020. Soil physicochemical properties and cotton (Gossypium hirsutum L.) yield under brackish water mulched drip irrigation. Soil Tillage Res. 199, 104592.
Zhang, J., Feng, D., Zheng, C., Sun, C., Sun, J., Gao, Y., 2014. Effects of saline water irrigation on soil water-heat-salt variation and cotton yield and quality. Trans. Chin. Soc. Agric. Mach. 39 (5), 108–111.
Zhang, J., Li, K., Gao, Y., Feng, D., Zheng, Ch., Cao, C., Sun, J., Dang, H., Hamani, A. K. M. 2022. Evaluation of saline water irrigation on cotton growth and yield using the AquaCrop crop simulation model, Agricultural Water Management, 261. 107355.
Zheng, C., Feng, D., Li, K., Ma, J., Dang, H., Cao, C., Sun, J., Zhang, J., 2020. Effects of furrow irrigation with saline water on variation of soil water-salt, cotton growth and yield. Trans. Chin. Soc. Agric. Eng. 36 (13), 92–101.